Method and System for User Authentication Using Dnssec

1. A system for transmitting secure data with retrieval data from Domain Name System Security Extensions (DNSSEC), comprising: at least one Domain Name server communicatively coupled to a processor, a computer-readable memory accessible to the processor and comprising one or more sequences of instructions which, when executed by the processor, cause the processor to carry out the steps of: encoding a Delegation Signer (DS) Record within a Name Server (NS) Record, and using a NS channel to transmit NS and DS record data; wherein the system further comprises a mirror of a genuine Domain Name server created through a delegation of a Domain name space to the mirror, the mirror being communicatively coupled to the processor for performing the encoding of DS records within NS records; wherein said mirror is continuously built as information is requested by users, and wherein mirror records are synthesized by combining answers from a genuine Domain Name server with new signatures for authentication created when a signature is not available from the genuine Domain Name server.

2. The system of claim 1 , further comprising instructions which, when executed by the processor, cause the processor to carry out the additional step of: sending a NS Record, which includes a DS Record, from the Domain Name server to a user, said user receiving the NS record and extracting the DS record to authenticate a sending Domain Name server.

3. The system claim 2 , wherein the user is able to process an unencoded NS Record without a DS record part.

4. The system of claim 2 , wherein the user, in order to guarantee an authentication, communicates through a chain of name servers to a Root Name Server and then equivalently back down.

5. The system of claim 1 , wherein the system is scalable through initial implementation by a small group of clients and subsequent growth of implementation towards global usage.

6. The system of claim 1 , wherein DS Record incorporation into a NS Record is aided by a registrar.

7. The system of claim 1 , further comprising an automation detection platform, which works in cooperation with a domain name server; the platform comprising at least one filter, the filter accumulates statistics of name server requests.

8. The system of claim 7 , further comprising a hot-mitigating unit that uses collected statistics to mitigate attacks by hot-driven criminal networks.

9. The system of claim 7 , wherein the platform is implemented as a part of the Domain Name Server.

10. The system of claim 7 , wherein said automation detection platform compiles results with security implications in order to build a capability to identify automation.

11. The system of claim 7 , wherein said automation detection platform uses location evaluation to differentiate human from automated/remote control activity.

12. The system of claim 7 , wherein said automation detection platform uses interclick timing evaluation to differentiate human from automated/remote control activity.

13. The system of claim 7 , wherein said automation detection platform uses motion and state related automation detection to differentiate human from automated/remote control activity.

14. The system of claim 7 , wherein said automation detection platform uses IF and geolocation related automation detection to differentiate human from automated/remote control activity.

15. The system of claim 7 , wherein said automation detection platform uses tie based automation detection to differentiate human from automated/remote control activity.

16. The system of claim 7 , wherein said automation detection platform uses data hiding and separation to differentiate human from automated/remote control activity.

17. The system of claim 7 , wherein said automation detection platform uses rendering differential evaluation to differentiate human from automated/remote control activity.

18. The system of claim 7 , whereto said automation detection platform uses jitter evaluation to differentiate human from automated/remote control activity.

19. The system of claim 7 , wherein said automation detection platform uses VM timeslicing analysis to differentiate human from automated/remote control activity.

20. The system of claim 7 , wherein said automation detection platform uses cache validation to differentiate human from automated/remote control activity.